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A CBR-based decision-making model for supporting the intelligent energy-efficient design of the exterior envelope of public and commercial buildings

机译:一种基于CBR的决策模型,用于支持公共和商业建筑外壳智能节能设计

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摘要

The building envelope is a key factor affecting the energy efficiency of buildings. Often, building envelope design requires both explicit knowledge and tacit knowledge. In practice, the tacit knowledge embedded in existing envelope design cases is significantly underused. To enhance the application of such knowledge, this paper proposes a case-based reasoning (CBR) model for the decision support of building envelop design during the preliminary design stage. A case library of 100 certificated green public and commercial buildings is used to develop the model. An experiment on a test case is performed to verify the methodology and usability of the model. Furthermore, records for 25 certificated green public buildings are used to validate the effectiveness of the model. The result shows that the accuracy rate of the CBR model is 84% when considering heating and cooling demands of envelopes. In conclusion, the proposed CBR model is promising for improving the efficiency of envelope design for public and commercial buildings while reducing the reliance on expert participation. (C) 2020 Elsevier B.V. All rights reserved.
机译:建筑信封是影响建筑物能源效率的关键因素。通常,建筑包络设计需要明确的知识和默契知识。在实践中,嵌入在现有的信封设计案件中的默契知识得到了大幅下降。为加强这种知识的应用,本文提出了一种基于案例的推理(CBR)模型,用于在初步设计阶段建筑包围设计的决策支持。使用100个认证的绿色公共和商业建筑的案例库来开发模型。执行关于测试用例的实验以验证模型的方法和可用性。此外,用于25个认证的绿色公共建筑的记录用于验证模型的有效性。结果表明,考虑到信封的加热和冷却需求,CBR模型的精度率为84%。总之,拟议的CBR模型是有希望提高公共和商业建筑的信封设计的效率,同时减少对专家参与的依赖。 (c)2020 Elsevier B.v.保留所有权利。

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